Physics of cellular energy metabolism

Physics of cellular energy metabolism
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细胞能量代谢物理学

DOI:
10.1080/00107514.2022.2073046
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发表时间:
2022
影响因子:
2
通讯作者:
Barnes S
Barnes S
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Barnes S

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对细胞能量代谢领域的贡献一直由生物化学主导。然而,在过去的十年中,已经引入了几种基于物理的方法。振荡是所有生命系统的内在方面,从细胞内底物水平的波动到跨膜电位的变化。利用基于物理的方法来分析这些时间依赖性信号,揭示了可预测的稳定性。通过拥抱细胞动力学的非线性,时变和开放性,新的基于网络的细胞建模方法正在出现,能够有效地复制测量的时间序列数据。这些新方法有望使人们更好地理解各种疾病如何影响细胞,甚至是新的治疗或诊断方法。
Contributions to the field of cellular energy metabolism have been dominated by biochemistry. Over the past decade, however, several physics-based approaches have been introduced. Oscillations are an intrinsic aspect of all living systems, from fluctuating substrate levels within cells to changes in electrical potential across membranes. Utilising physics-based approaches to analyse these time-dependent signals reveals pockets of predictable stability. By embracing the nonlinear, time-varying and open nature of cellular dynamics, new network-based approaches to modelling cells are emerging, capable of effectively replicating measured time-series data. These new approaches promise to bring greater comprehension of how various illnesses affect the cells, and indeed, to novel treatments or diagnostic methods.
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